Thank you so much, this was cover-work and at first glance it appeared to be impossible but it turns out with your assistance it was quite simple. Thanks again.
Hi, when you use the critical values table, do you use the degrees of freedom based on how many values there are that you're measuring the correlation between?
In this example degrees of freedom is correct i.e. 12. Most texts point to n = pairs of data, although a very few do refer to n-1. I use the both the Geographical Association's "Methods of Statistical Analysis of Fieldwork Data" and the Royal Geographical Society's "A student Guide to the A level Independent Investigation" as sources for my stats teaching and videos.
Thank you. I think you mean the final Rs value (final Spearman's Rank result) rather than the d value in your question? If the Rs value is negative after doing the calculation, then ignore the negative sign initially and follow the same rule for looking at the significance table as if it was a positive one. If you are then able to accept your alternative hypothesis then your results would indicate a significant negative correlation between your two variables.
In this example degrees of freedom is correct i.e. 12. Most texts point to n = pairs of data, although a very few do refer to n-1. I use the both the Geographical Association's "Methods of Statistical Analysis of Fieldwork Data" and the Royal Geographical Society's "A student Guide to the A level Independent Investigation" as sources for my stats teaching and videos.
Yes, you can either rank the highest value as 1 or the lowest value as 1; the answer will be the same. If you choose to use rank 1 for the highest value in that column, then you must also use rank 1 for the highest value in the other column.
